AI Engineer - Deep Learning Research (Expert)

Description

The AI Engineer - Deep Learning Research (Expert) is a strategically focused AI engineer responsible for identifying emerging AI opportunities, evaluating new models and technologies, and shaping the organization’s AI direction through evidence-based research, experimentation, and portfolio recommendations.

The role bridges the gap between enterprise AI strategy and technical reality by assessing what is worth adopting, what should be monitored, what should be tested, and what should not be pursued. It supports decision-making across the AI ecosystem by producing objective comparisons of closed-source and open-source models, vendor offerings, deployment patterns, and cost-performance tradeoffs.

This role is not primarily responsible for building production solutions or delivering business-unit implementations. Instead, it provides the research, validation, and strategic recommendations that help the broader AI team decide where to invest, what to scale, and how to design future AI capabilities.

The role requires strong analytical judgment, structured research capability, hands-on understanding of LLMs and AI infrastructure, and the ability to translate technical findings into clear business and executive recommendations. It also requires close collaboration with AI Engineering, AI FDE, Architecture, Operations, and governance teams to ensure alignment with enterprise standards and operational realities.

DUTIES AND RESPONSIBILITIES:

• Monitor the AI landscape for new models, platforms, vendors, tools, techniques, and research developments.

• Maintain a model landscape / model platter covering leading closed-source, open-source, and locally hosted model options.

• Evaluate vendor claims and conduct structured benchmarks and comparative evaluations of AI models and platforms.

• Assess fit-for-purpose use of models for selected enterprise workloads, including when smaller, open, or locally hosted models may be better.

• Design and run controlled experiments, translate findings into recommendations, and support governance, handoff, and executive reporting.

• Design and develop prototypes and experimental AI solutions that can be transitioned to production.

• Provide regular technical updates and findings to FDE for solution shaping.

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed

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